Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Rice leaf soluble sugar accumulation remote sensing inversion model and method based on LightGBM regression algorithm

A remote sensing inversion and regression algorithm technology, applied in the field of agricultural remote sensing, can solve problems such as the difficulty in determining the spectrum, the complexity of rice components, and the difficulty in determining the characteristic bands of soluble sugar accumulation in rice leaves.

Pending Publication Date: 2021-01-26
ZHONGKAI UNIV OF AGRI & ENG
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the process of constructing the inversion model of soluble sugar accumulation in rice leaves, the spectral range measured by the full-band spectrometer covers 350nm to 1100nm. It is difficult to determine the characteristic spectrum, and at the same time, the rapid processing of hyperspectral data has become an urgent technical problem to estimate the accumulation of soluble sugar in rice leaves based on hyperspectral data
[0005] Therefore, it is hoped to provide a remote sensing inversion model of soluble sugar accumulation in rice leaves, which can quickly and accurately obtain the information on soluble sugar accumulation in rice leaves, and overcome the accumulation of soluble sugar in rice leaves caused by the spectral superposition effect caused by complex rice components. It is difficult to determine the quantity characteristic band, which greatly improves the accuracy of the inversion model of rice leaf soluble sugar accumulation

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Rice leaf soluble sugar accumulation remote sensing inversion model and method based on LightGBM regression algorithm
  • Rice leaf soluble sugar accumulation remote sensing inversion model and method based on LightGBM regression algorithm
  • Rice leaf soluble sugar accumulation remote sensing inversion model and method based on LightGBM regression algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0061] The remote sensing inversion method of rice leaf soluble sugar accumulation based on the LightGBM regression algorithm in this embodiment is based on the measured hyperspectral data, using the rice planting area (the rice and wheat planting base in Huai'an, Huai'an Academy of Agricultural Sciences, Jiangsu Province, and the rice variety is Huai'an Dao 5, the sampling period is the rice jointing stage) collected the rice canopy reflectance spectral data and rice leaf soluble sugar accumulation data, a total of 48 sampling points, these sampling points are evenly distributed and completely cover the entire rice planting area. The data of 48 sampling points are randomly divided into two parts, of which the data of 36 sampling points are used for model building, and the data of 12 sampling points are used for model testing. The workflow of the remote sensing inversion method for soluble sugar accumulation in rice leaves based on the LightGBM regression algorithm is as follow...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

PropertyMeasurementUnit
reflectanceaaaaaaaaaa
reflectanceaaaaaaaaaa
Login to View More

Abstract

The invention provides a rice leaf soluble sugar accumulation amount remote sensing inversion model based on a LightGBM regression algorithm, which is a LightGBM regression model of a Python language,and further provides model parameters of the LightGBM regression model. The invention further provides a rice leaf soluble sugar accumulation amount remote sensing inversion method based on the LightGBM regression algorithm. According to the rice leaf soluble sugar accumulation remote sensing inversion model based on the LightGBM regression algorithm, rice leaf soluble sugar accumulation information can be rapidly and accurately obtained, the difficulty that the it is difficult to determine characteristic wave band of the rice leaf soluble sugar accumulation due to the spectral superpositioneffect caused by complex rice components is overcome, the precision of the rice leaf soluble sugar accumulation inversion model is greatly improved, and the model is ingenious in design, simple and convenient in calculation, easy to implement, low in cost and suitable for large-scale popularization and application.

Description

technical field [0001] The invention relates to the technical field of agricultural remote sensing, in particular to the technical field of measuring the accumulation of soluble sugar in rice leaves, and specifically refers to a remote sensing inversion model and method for the accumulation of soluble sugar in rice leaves based on the LightGBM regression algorithm. Background technique [0002] Soluble sugar accumulation in rice leaves refers to the total accumulation of soluble sugars in rice leaves. Soluble sugar content is an important parameter to quantify rice photosynthesis to fix carbon dioxide and synthesize carbohydrates. At the same time, soluble sugar plays an important regulatory role in the life cycle of plants. It not only provides energy and metabolic intermediates for the growth and development of rice, but also has important signaling functions. It is an important regulator of rice growth and gene expression. The signal constitutes a complex signal network ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06N20/10G01N21/17G01N21/25G01N21/47
CPCG01N21/17G01N21/25G01N21/4738G01N2021/1797G06N20/10G06F30/27
Inventor 陈青春朱元励吴莹莹万小荣陈小琳邢明梅王靖岳海峰张悦蒋锋
Owner ZHONGKAI UNIV OF AGRI & ENG
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com